In this project I focused on visualization, machine learning, statistical, technical and financial analysis with Python applied on 2 securities: GAP('GPS') and Adidas('ADS.DE'). The libraries used are: matplotlib, seaborn, numpy, pandas, mplfinance, sklearn, tensorflow and statsmodels.
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In this project I focused on visualization, data analysis and machine learning with Python, applied on 2 securities - 'GPS' and 'ADS.DE'. The libraries used are: matplotlib, pandas, seaborn, sklearn, tensorflow and statsmodels.
Palazoff/GAP-Adidas_Project
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In this project I focused on visualization, data analysis and machine learning with Python, applied on 2 securities - 'GPS' and 'ADS.DE'. The libraries used are: matplotlib, pandas, seaborn, sklearn, tensorflow and statsmodels.
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